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Applied Sciences
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Editorial Board Members' Collection Series: Applied Affective and Cognitive Neuroscience
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Editorial Board Members' Collection Series: Applied Affective and Cognitive Neuroscience

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 601

Special Issue Editors

Prof. Dr. Peter Walla

E-Mail Website
Guest Editor
Faculty of Psychology, Sigmund Freud Private University, Freudplatz 1, 1020 Vienna, Austria
Interests: non-conscious affective and cognitive brain processes; memory; perception; self-referential processing; olfaction
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Alexander N. Pisarchik

E-Mail Website
Guest Editor
Center for Biomedical Technology, Technical University of Madrid, Campus Montegancedo, Pozuelo de Alarcón, 28223 Madrid, Spain
Interests: complex systems; bioinformatics; mathematical and computational biology; optics and photonics; biological physics; cognitive neuroscience
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Affective and cognitive neuroscience are relevant to essentially all other disciplines. Following the idea that human behavior, including prior decision-making, is a consequence of neural activity mainly occurring in the brain, one can understand why several academic marriages between neuroscience and other fields already took place. To name just a few, neuroeconomics, neurophilosophy, neuromarketing and neurofinance have become their own new disciplines. Their creation is strongly driven by the fact that non-conscious brain processes dominantly feed into decision-making and ultimately the production of human behavior. Hence, there is increased interest in the completion of questionnaire-based investigations with methods that can watch the brain at work. The sole collection of consciously given responses can be misleading, similar to perceived optical illusions. In contrast to that, the brain itself always tells the truth, but it cannot speak. This is where affective and cognitive neuroscience comes into play. Due to growing interest in its capacities by other disciplines, this Special Issue is meant to collect original articles (empirical research), reviews, and theoretical papers around the topic of applied affective and cognitive neuroscience.

Prof. Dr. Peter Walla
Prof. Dr. Alexander N. Pisarchik
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • affection
  • cognition
  • neuroscience
  • brain imaging
  • non-conscious brain processes
  • startle reflex modulation
  • electroencephalography
  • EEG

Published Papers (1 paper)

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Research

16 pages, 1492 KiB  
Article
Non-Conscious Affective Processing in Asset Managers during Financial Decisions: A Neurobiological Perspective
by Peter Walla and Maximilian Patschka
Appl. Sci. 2024, 14(9), 3633; https://doi.org/10.3390/app14093633 - 25 Apr 2024
Viewed by 172
Abstract
In the world of finance, considerable attention is given to improving machine learning techniques to predict the future of stock markets. However, for obvious reasons, this turns out to be an unsolvable mission, most likely because the real world is not driven by [...] Read more.
In the world of finance, considerable attention is given to improving machine learning techniques to predict the future of stock markets. However, for obvious reasons, this turns out to be an unsolvable mission, most likely because the real world is not driven by algorithms but by human beings. In response to this, the present study has its focus on raw affective responses in actual asset managers during their decision making regarding controlled financial scenarios. Nineteen asset managers were invited and asked to make sell/buy decisions related to visual presentations of three different price developments of different assets. The three scenarios were “crash”, “stable” and “gain”. Parallel to their decision making, startle reflex modulation (SRM) was used to measure non-conscious affective responses without demanding any respective explicit responses (no conscious language processing involved). Interestingly, two further factors were introduced. First, all participants had to make their decisions once while being informed that 0% prior investments (low exposure) have been made into the presented assets, and once being informed that a large investment consisting of 25% of ones’ overall portfolio has been made prior to making the decision (high exposure). Second, the factor experience was included dividing all participants into two groups, one with low experience and the other with high experience. First, across both these extra factors, it was found that “crash” scenarios resulted in the most negative affective responses. The most positive affective responses were found for “gain” scenarios, while the “stable” condition was in between. Interestingly, the factor of prior investment (i.e., exposure) had an effect. Non-conscious affective responses during decision making related to the “stable” condition varied as a function of “exposure”. In the low exposure condition, affective responses to decision making during the “stable” scenario were most negative, even more negative than in “crash” scenarios. The factor experience also had an effect, but due to the small sample size, no significant interaction occurred. However, t-tests revealed the same significant effects in the experienced group as found in the 0% prior investment condition. To our knowledge, this is the first empirical investigation measuring non-conscious affective responses during decision making in the context of asset management. Thus, this study might form an interesting basis for new strategies to explore non-conscious human brain functions instead of inventing new algorithms to make asset management more successful. Full article
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Applied Affective and Cognitive Neuroscience)
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